Math & Optimization · beginner · concept 35 of 176

📐Loss Function

A function that measures how wrong the model's predictions are. Training = minimizing the loss. Common losses: MSE (regression), cross-entropy (classification), contrastive (embeddings). The formal name for training-by-average-loss is empirical risk minimization.